Join RBC as a Manager of Financial Crime Model Validation to influence global compliance strategies. You'll lead the validation of sophisticated models for financial crime detection and risk management.

In this full-time role with the Global FC Validation team, you'll be responsible for assessing and improving model efficacy while adhering to regulatory standards. By utilizing your background in statistical analysis, you will perform comprehensive validation of machine learning algorithms and heuristic models that detect financial crimes. Your contributions will directly impact risk mitigation and governance practices at RBC.

Key Responsibilities:



• Validate machine learning and heuristic financial crime models • Perform rigorous testing of AML detection systems • Challenge and assess risks related to financial crime methodologies • Document validation processes and maintain compliance records • Collaborate cross-functionally for improved model outcomes

Requirements: • Minimum 3 years in financial crimes risk or model validation • Experience with statistical tools like Python and SQL • Solid understanding of financial regulations • Bachelor’s degree in Finance or Data Science • Excellent business communication skills

Play a key role in enhancing model validation to safely navigate financial crime risks at RBC. #J-18808-Ljbffr

📌 Manager, Financial Crime Model Validation (Winnipeg)
🏢 Socket.dev
📍 Winnipeg